This README explains how the files in the replication materials should be used in order to replicate the data and analyses presented in the manuscript and appendix. FILES: 1) Data for Affluence and influence in a social democracy, June 2022 (main dataset)2) Covariances income education 1965 to 2014 (data)3) Names of policy survey items, by dataset name (data)4) Code for Affluence and Influence in a social democracy (code)5) Code for Affluence and influence in a social democracy APPENDIX (code)6) Code for Appendix Tables H2 and H3 (code)7) Imputation for income (code)8) Imputation for education (code)9) Imputation for income and education combinations (code)10) Estimate income education covariance based on NES series (code)11) Extraction scripts for original surveys (220 code files) 12) Instructions for use of extraction scripts (text)13) A&I Social Democracy Codebook (text) DATA ACCESS:The data included in these replication materials include all but the original survey data files used to construct the opinion-policy dataset analyzed in the paper, as well as some of the tables in the appendix. The original survey data for the opinion policy dataset are subject to restricted access, and cannot be shared in the Dataverse. Researchers who want to replicate the construction of the finalized dataset can get access to all the original survey files by contacting the data provider Sikt - Norwegian Agency for Shared Services in Education and Research (email: bestilledata@sikt.no?). Researchers should then request access to all the datasets listed in the document �Names of policy survey items, by dataset name�.The data used for Tables H2 and H3 come from Microdata.no, an online database of registry data on Norwegian citizens. It is fairly simple to gain access to the database as long as you are affiliated with a Norwegian university: �Researchers, PhD- and master�s students at Norwegian universities, colleges, researchers at approved research institutions in Norway, and employees in ministries and directorates can access microdata.no. Access for end users is arranged by the campuses / institutions / employers themselves after having signed an institutional access contract with microdata.no.� �The institution sends e-mail to microdata@ssb.no and requests access. It is not necessary to apply. Everyone who meets the requirements gets access.� (source: https://www.microdata.no/en/bli-bruker/). However, as of 1 June 2022 there is not yet a way for scholars based in foreign universities to access the database: �microdata.no is working with access solutions for users at international universities and research institutions.� The raw data on microdata.no cannot, for privacy reasons, be exported. They must be analyzed using the online analysis tool. Within this analysis tool, it is possible to create and save code scripts. The replication materials include the code necessary to reproduce Tables H2 and H3.  The data for Table H1 is from the Norwegian National Election Surveys. These are part of the original survey data material for the finalized dataset and can be accessed as described above. EXPLANATION:Step 1: For each original survey, find the matching �extraction script�. Read the instruction text for how to use the script. The script will extract the number of respondents who support/oppose/don�t know for a given policy proposal in each category of each variable of interest. This information is saved as a single row and appended to the main dataset. In the main dataset, that information is stored in the variables ending in _FAV, _OPP and _DK. 
Step 2: The support of the different income/education percentiles included in the main dataset are imputed based on the FAV/OPP variables, using the three scripts above starting with �Imputation��. One of these scripts also use the covariance between income and education by year, contained in a separate dataset. These covariances have been estimated from the National Election Surveys (NES) series, using LOESS. The script to reproduce these estimates is included in the reproduction materials. The NES data is part of the original survey files and can be accessed in the way described above. Step 3: The code to reproduce the results in the manuscript and appendix is used on the finalized dataset. Step 4: Tables H2 and H3 in the appendix are reproduced by using the separate script included in the reproduction materials.